distilbert-base-uncased_new_ner_format_fn_5_epochs

bisoye/distilbert-base-uncased_new_ner_format_fn_5_epochs

distilbert-base-uncased_new_ner_format_fn_5_epochs is a token classification model from bisoye. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Sep 15, 2024
Updated: Sep 15, 2024
SHA: dbddcefd

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Base models

Model card

From the Hugging Face model README

distilbert-base-uncased_new_ner_format_fn_5_epochs

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1611
Wer: 0.0319

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 1010
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0127	1.0	76	0.1793	0.0334
0.0129	2.0	152	0.1163	0.0281
0.0104	3.0	228	0.1637	0.0319
0.0055	4.0	304	0.1462	0.0326
0.0027	5.0	380	0.1611	0.0319

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 3.0.0
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Sep 15, 2024
Updated: Sep 15, 2024